语言要求雅思 6.5（W 6 / S 6 / L 6 / R 6） · 托福 87（W 21 / S 21 / L 21 / R 21） · 托福（新版） 4.5（W 4.5 / S 4.5 / L 5 / R 4.5） · PTE 61（W 55 / S 55 / L 55 / R 55）
就业方向互联网科技公司、医疗机构、咨询公司、保险公司、政府机构
岗位分布数据分析师、数据产品经理、数据科学家、商业智能分析师、量化分析师
📚 课程设置（10 门，核心课程 5 / 选修课程 5）
核心课程5 门
数据科学编程Programming for Data Science
数据科学的机器学习Machine Learning for Data Science
数据科学家的技能Skills for Data Scientists
数据科学项目开发Data Science Project Development
数据科学研究项目Data Science Research Project
选修课程5 门
数据分析与机器学习的统计技术Statistical Techniques for Data Analysis and Machine Learning
化学中的机器学习：从原子到大气Machine Learning in Chemistry: from Atoms to Atmospheres
生物信息学小组项目Bioinformatics Group Project
洪水风险管理的空间分析与建模Spatial Analysis and Modelling for Flood Risk Management
医疗保健中的数据科学Data Science in Healthcare
🎯 入学要求
官网给出的录取条件原文，含学校统一要求与该项目的附加要求；语言成绩的具体分数线请到项目官网核对。
If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:
For more information see our postgraduate English language requirements .
You may be eligible for one of our pre-sessional English language courses . These courses will provide you with the level of English needed to meet the conditions of your offer.
The length of course you need to take depends on your current English language test scores and how much you need to improve to reach our English language requirements.
After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York .
You can apply and send all your documentation online. You don’t need to complete your application all at once: you can start it, save it and finish it later.
How to apply
Apply for this course
📖 项目简介
Over the year, you will study four core modules and two option modules. You will be able to choose option modules that explore a range of different scientific fields, allowing you to tailor the degree to your own academic interests.
You will learn a range of practical skills that are used by data scientists every day, and you will be able to use these skills across a range of different disciplines in future careers. We will also teach you how to read literature from different fields of science, so that you can be prepared to apply that knowledge to new problems.
Modules
Dissertation
Programming for Data Science
Machine Learning for Data Science
Skills for Data Scientists
Data Science Project Development
Data Science Research Project
You will study two option modules. Examples can be found below. Some option module combinations may not be possible. The options available to you will be confirmed after you begin your course.
Research Seminars in Bioinformatics
Machine Learning in Chemistry: from atoms to atmospheres
Group Project
Spatial Analysis and Modelling for Flood Risk Management
Data Science in Healthcare
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
Data Science Research Project
Previous research projects within the department include:
Reassessing data to find missing chemical modifications
Hierarchical cluster analysis of biogenic secondary organic aerosol in Beijing
Bioinformatics of Covid-19
Identifying stress response regulators in wheat using gene regulatory network modelling
Predicting persistent depressive symptoms in older adults
Every course at York is built on a distinctive set of learning outcomes. These will give you a clear understanding of what you will be able to accomplish at the end of the course and help you explain what you can offer employers. Our academics identify the knowledge, skills, and experiences you'll need upon graduation and then design the course to get you there.
Design, implement and document computer programs to manage, manipulate and visualise digital data, working by yourself and as a team.
Identify and implement appropriate data science and machine learning methods to analyse complex datasets, and to communicate the results to both technical and non-technical audiences.
Develop and evaluate training and testing datasets and methods, and use them to critically evaluate the validity, accuracy and limitations of data analyses.
Assimilate the data, language, and techniques of previously unfamiliar scientific disciplines; read and critically evaluate the literature to communicate effectively with scientists in those disciplines.
Create project proposals which align to professional and ethical standards of a field and apply consultancy skills to provide data science services to scientists in that field.
Design, perform and evaluate the outcomes of an independent research project in a data science application area.
Pursuing my MSc in Data Science at the University of York has been an enriching journey, where I had the opportunity to apply my skills to real-world health data through my first research project. The exceptional guidance from professors, combined with a focus on critical thinking, communication, and organisational skills, has truly elevated my academic and personal growth.
Vatsal, MSc Data Science student.
以上为约克大学该项目官网项目页原文（英文），本站未做改写或补写。
✨ 项目特色
该项目官网「Unique Program Features」原文，说的是这个项目自身的特点（学制长短、资助、实践安排、认证等），不是学校层面的通用介绍。
You’ll work with world‐leading academics who’ll challenge you to think independently and excel in all that you do. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace.
The course is taught as a combination of lectures and practical workshops, with most modules featuring more workshops than lectures. The teaching is heavily focused on practical data science skills that you will apply in the real world (including the python programming language), rather than on theory and underlying technologies.
We have well-equipped computer classrooms for you to access, each with a wide-range of installed software on Windows and Linux-based operating systems.
Most of your teaching will take place in the Department of Chemistry, which is located adjacent to the Science Park, with occasional sessions elsewhere on Campus West. The majority of departments, colleges and facilities are based nearby.
Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It's easy to get around campus - everything is within walking or pedalling distance, or you can always use the fast and frequent bus service.
Each module consists of 20 credits, with the final research task totalling 60 credits. You will be assessed through computer programmes, written reports, oral presentations and a poster.
该项目为硕士 · 数据科学，官网介绍：Over the year, you will study four core modules and two option modules. You will be able to choose option modules that explore a range of different scientific fields, allowing you to tailor the degree…
约克大学数据科学（科学）理学硕士的学制是多久？
该校官网公布为 1年（全日制）。
约克大学数据科学（科学）理学硕士的学费是多少？
33900英镑/年，为该校官网公布的项目学费。
约克大学数据科学（科学）理学硕士什么时候入学？
该校官网公布 9月 入学。
约克大学数据科学（科学）理学硕士的语言成绩要求是什么？
雅思 6.5（W 6 / S 6 / L 6 / R 6） · 托福 87（W 21 / S 21 / L 21 / R 21） · 托福（新版） 4.5（W 4.5 / S 4.5 / L 5 / R 4.5） · PTE 61（W 55 / S 55 / L 55 / R 55）。
约克大学数据科学（科学）理学硕士的入学要求是什么？
If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications: For more information see our postgraduate English language requirements .